{"product_id":"advanced-intelligent-computing-technology-and-applications-9789819698684","title":"Advanced Intelligent Computing Technology and Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Image Processing\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Spatial-Spectral Topological Graphmamba for Hyperspectral Image  Classification.\u003cbr\u003e.- Efficient 3D Brain Tumor Automatic Division Based on Attention  Mechanism.\u003cbr\u003e.- Lightweight Remote Sensing Image Change Detection Based on Global Feature Fusion.\u003cbr\u003e.- DUMD-EIT: A Three-Stage Deconvolution-UNet-Masked Diffusion Model  for Electrical Impedance Tomography Image Reconstruction.\u003cbr\u003e.- Image Deraining Network Based on Multi-Level Mixed Attention.\u003cbr\u003e.- Deep Hashing based on Feature Fusion Enhancing Hierarchical Transformer with Distance Separated Centers Guided Polarization Loss.\u003cbr\u003e.- GTF: Generator for Pairwise Thermal Face Image Synthesis.\u003cbr\u003e.- SDMD-RTDETR: An Improved Real-Time Transformer Detection Model  for Detecting Violations in Power Operators' Dress.\u003cbr\u003e.- Improving Heterogeneous Cryo-EM Reconstruction Using Transformer Architecture.\u003cbr\u003e.- TPANet: Scene Text Detection Based on Texture Refinement and Patch Driven Attention with Cross-Level Feature Integration.\u003cbr\u003e.- GL-Unet: Global-Local Attention Based Image Segmentation Algorithm for  Transmission Line Defects.\u003cbr\u003e.- EMCrossNet: Edge-guided Bidirectional Mamba Fusion Network for Crack  Segmentation.\u003cbr\u003e.- Forgery-aware Adaptive CLIP for Generalizable Face Forgery Detection.\u003cbr\u003e.- Efficient Oriented Object Detection with Enhanced Small Object  Recognition in Aerial Images.\u003cbr\u003e.- Multimodal-guided Perceptual Image Compression via Joint Text and Audio.\u003cbr\u003e.- A Image Restoration Network for Nighttime Variegated Haze Conditions.\u003cbr\u003e.- The Loop Game: Quality Assessment and Optimization for Low-Light Image  Enhancement.\u003cbr\u003e.- Lightweight Image Super Resolution via Multi-branch Feature Aggregation Network.\u003cbr\u003e.- Deep Unfolding for Task-Decomposed Image Restoration Under Diverse Degradations.\u003cbr\u003e.- Cross-Modality Differential Feature Interaction for Multispectral Pedestrian Detection.\u003cbr\u003e.- BiSyncFusion: Dual-Stream Bidirectional Synchronization for BEV Multimodal Fusion.\u003cbr\u003e.- ESCA-Net: Attention-enhanced CNN and Transformer fusion coding  network for lung airway tree segmentation.\u003cbr\u003e.- Emphasizing Object-Background Difference Network for Camouflaged  Object Detection.\u003cbr\u003e.- MSD-SEG: Multi-scale Deformable Convolution Network for Segmentation of Remote Sensing Images.\u003cbr\u003e.- MCGFusion: Multi-Scale Cross Gated Fusion Framework for Multi-Focus  Image Fusion.\u003cbr\u003e.- A Deepfake Detection Model based on Optical Flow Estimation.\u003cbr\u003e.- cross-modal Prior Generation and Structured Information Fusion for Fewshot Semantic Segmentation.\u003cbr\u003e.- IEDNet: Learning A Two-stage Enhancement-Denoising Network for Low Light Image Enhancement.\u003cbr\u003e.- Optimal Transport-Based Prompt Alignment for Unsupervised Domain Adaptation.\u003cbr\u003e.- CSN-YOLOv5s: A Novel Detection Algorithm for PCB Surface Defects.\u003cbr\u003e.- Dynamic Convolution and Dimensional Joint Attention Based Denoising of  Oracle Topography Images.\u003cbr\u003e.- Dynamic Partition Cascade Matching Multi-Target Trajectory Association.\u003cbr\u003e.- Learning Latent Representations with Codebook Priors for Single-Image Flare Removal.\u003cbr\u003e.- Chinese Text Detection in Natural Scenes based on Feature Pyramid with Attention Mechanism.\u003cbr\u003e.- K-CMorph: Integrating K-space Consistency and Complex-valued Processing for Improved MRI Deformable Registration.\u003cbr\u003e.- SA-SAM: Stronger Adaptation for SAM in Camouflaged Object Detection.\u003cbr\u003e.- GASNet: Geometric Robust Adaptive Spatial-Enhanced Network for Building Extraction.\u003cbr\u003e.- FSCIE: Fast Covert Image Exfiltration via Screen Recording.\u003cbr\u003e.- PanFormer: Dual-Head Soft Attention Meets Multi-Scale Residual Learning.\u003cbr\u003e.- K2Mural: Text-Guided Pre-trained Model for Mural Image Inpainting.\u003cbr\u003e.- FCFormer: Fourier Convolution Vision Transformer for Image Classification.\u003cbr\u003e.- YOLOv8-CSPD: Integrating Collaborative Attention and Lossless Downsampling for Real-Time Industrial Aluminum Can Detection. \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.-Natural Language Processing and Computational Linguistics\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Accelerating LLM Inference on RISC-V Edge Devices via Vector Extension Optimization.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default 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